Dimensional Variation Analysis (DVA) Engineer

We are pleased to inform you that we have scheduled a Walk-in Recruitment Drive in Pune Saturday, 24 Oct
Interview Details:
📍 Venue:
Tata Technologies
25 Rajiv Gandhi Infotech Park,
Hinjewadi Pune 411057 India
🕘 Time:
9:00 AM to 1:00 PM
Selection Process:
Profile Screening and Shortlisting at the Venue
Technical Interview
Tool Assessment/Test (Based on technical team recommendation)
HR Discussion
PFB Job Description:
Dimensional Variation Analysis Engineer
Scope of Role
DVA, Tolerance stackup
Area of Responsibility
Lead and perform dimensional variation analysis using 3DCS (v7.8) & VisVSA tools.
Develop and implement strategies to control and reduce dimensional variation in products and processes.
Collaborate with design, manufacturing, and quality teams to identify potential sources of variation and recommend corrective actions.
Create and maintain detailed documentation of analysis results, methodologies, and corrective actions.
Provide technical guidance and mentorship to junior engineers and team members.
Conduct root cause analysis for dimensional variation issues and implement effective solutions.
Support the development and validation of measurement systems and inspection processes.
Participate in design reviews and provide input on dimensional tolerances and specifications.
Stay updated with industry trends and advancements in dimensional analysis techniques and tools.
Knowledge / Experience – 6 to 9 Years
Essential:
Strong hands-on experience in Dimensional Variation Analysis (DVA) and tolerance stack‑up analysis for complex assemblies.
Proficient in 3DCS v7.8 for Monte Carlo simulation, RSS, and worst‑case dimensional analysis.
GD&T expert with advanced application of ASME Y14.5 standards for functional and producible designs.
Skilled in 2D and 3D dimensional analysis using drawings and CAD-based models.
Proficient in CATIA V5 for model interpretation, assembly analysis, and design evaluation.
Deep understanding of manufacturing processes and their impact on dimensional variation.
Experienced in developing variation reduction strategies through tolerance optimization and process improvements.
Strong capability in performing root cause analysis and implementing corrective actions for dimensional issues.
Knowledgeable in measurement systems, CMM inspection planning, and MSA concepts.
Effective contributor to design reviews, providing guidance on datums, tolerances, and dimensional risks.
Demonstrates a strong collaborative mindset across design, manufacturing, quality, and supplier teams.
Proven ability to mentor junior engineers and provide technical guidance in DVA methodologies.
Strong time management and prioritization skills to handle multiple analyses within tight deadlines.
Excellent technical documentation and communication skills for presenting analysis results clearly.
Qualification:
Bachelor’s degree in Mechanical / Automotive Engineering or related discipline.

Work arrangement
No